Add co-authors Co-authors. PDF Restore Delete Forever. Upload PDF. New articles by this author. Merged citations. Google Scholar; Marzyeh Ghassemi, Mike Wu, Michael Hughes, and Finale Doshi-Velez. Their combined citations are counted only for the first article. 2019. Methods: We described all adults with COVID-19 or influenza discharged from inpatient medical services and medical–surgical intensive care units (ICUs) between Nov. 1, 2019, and June 30, 2020, at 7 … The following articles are merged in Scholar. New articles by this author. People. ; Prof. Ghassemi was one of MIT Tech Review’s 35 Innovators Under 35.; The ML4H group received a NSERC 2018 Discovery Grant. The ones marked * may be different from the article in the profile. Awards. Add co-authors Co-authors. Authors: Vinith M. Suriyakumar, Nicolas Papernot, Anna Goldenberg, Marzyeh Ghassemi. Nominated for 2017 Best Student Paper at AMIA Summit on Clinical Research Informatics (CRI) for “Predicting Intervention Onset in the ICU with Switching State Space Models”, First Place at 2014 MIT $100K Accelerate $10,000 Daniel M. Lewin Accelerate Prize, Kohana Student Team, First Place at 2013 MIT Sloan-ILP Innovators Showcase, Sana AudioPulse Student Team, Guest Editor for PLoS ONE call on Machine Learning in Health and Biomedicine, http://blogs.plos.org/everyone/2018/03/09/call-for-papers-ml4health/, Speaker at IACS SYMPOSIUM ON THE FUTURE OF COMPUTATION IN SCIENCE AND ENGINEERING “The Digital Doctor: Health Care in an Age of AI and Big Data” –, https://www.youtube.com/watch?v=XKE8UY4_lWw, Panelist at AMIA 2018 Informatics Summit Panel on “Deep Learning for Healthcare – Hype or the Real Thing?”, https://www.amia.org/2018-Informatics-Summit/panels, Matthew McDermott, Tom Yan, Tristan Naumann, Nathan Hunt, Harini Suresh, Peter Szolovits, and Marzyeh Ghassemi. Upload PDF. ; Prof. Ghassemi was appointed a Canada CIFAR AI Chair. Add co-authors Co-authors. Google Scholar; Learning without Annotation Supervised learning has worked very well in practice but yet they require exhaustive labelled data, posing a barrier to widespread adoption. Competence By Design: Physical Medicine & Rehabilitation ; Royal College Training Programs . Nagendran M, Chen Y, Lovejoy CA et al (2020) Artificial intelligence versus clinicians: systematic review of design, reporting … Professor Ghassemi currently serves as a NeurIPS 2019 Workshop Co-Chair, and General Chair for the ACM Conference on Health, Inference and … However, learning in a clinical setting presents unique challenges that complicate … Upload PDF. This "Cited by" count includes citations to the following articles in Scholar. M Ghassemi, T Naumann, F Doshi-Velez, N Brimmer, R Joshi, ... M Ghassemi, MAF Pimentel, T Naumann, T Brennan, DA Clifton, ... Twenty-Ninth AAAI Conference on Artificial Intelligence. Follow this author. with all of the words. Upload PDF. Predicting intervention onset in the ICU with switching state space models. Upload PDF. This "Cited by" count includes citations to the following articles in Scholar. The system can't perform the operation now. Randomized trials estimate average treatment effects for a trial population, but participants in clinical trials often aren’t representative of the patient population that ultimately receives the treatment with respect to race and gender.1, 2 As a result, drugs and interventions are not tailored to historically mistreated groups; for example, women, minority groups, and obese patients tend to have g… The growing data in EHRs makes healthcare ripe for the use of machine learning. O Badawi, T Brennan, LA Celi, M Feng, M Ghassemi, A Ippolito, ... A Raghu, M Komorowski, I Ahmed, L Celi, P Szolovits, M Ghassemi. New articles by this author. In Proceedings of the AMIA Summit on Clinical Research Informatics (CRI), Vol. Biography Marzyeh Ghassemi received the B.S. Add co-authors Co-authors. 2017. While health care is an inherently data-driven field, most clinicians operate with limited evidence guiding their decisions. Beede E, Baylor E, Hersch F, et al. New citations to this … Add co-authors Co-authors. PDF Restore Delete Forever. ... Dr. Marzyeh Ghassemi Assistant Professor, ... M Wu, M Ghassemi, M Feng, LA Celi, P … Follow this author. Annual Update in Intensive Care and Emergency Medicine 2015, 573-586, A Raghu, M Komorowski, LA Celi, P Szolovits, M Ghassemi, Machine Learning for Healthcare Conference, 147-163. New articles by this author. M Ghassemi, JH Van Stan, DD Mehta, M Zañartu, HA Cheyne II, ... IEEE Transactions on Biomedical Engineering 61 (6), 1668-1675, Machine Learning for Healthcare Conference, 322-337, M Ghassemi, T Naumann, P Schulam, AL Beam, R Ranganath, M Ghassemi, M Wu, M Feng, LA Celi, P Szolovits, F Doshi-Velez, Journal of the American Medical Informatics Association, ocw138, New articles related to this author's research, Professor of Computer Science and Engineering, MIT, Senior Researcher, Microsoft Research Healthcare NExT, PhD Student, Massachusetts Institute of Technology, Director of Voice Science and Technology Laboratory, Center for Laryngeal Surgery and Voice, Harvard Medical School and Massachusetts General Hospital, Scientist, SickKids Research Institute; Assistant Professor Department of Computer Science, University of Toronto, Department of Electronic Engineering, Universidad Técnica Federico Santa María, Master Student, Computer Vision Group, Heidelberg University, Postdoctoral Fellow, AIMI (Stanford University) + Mila (Quebec AI Institute), Post-doctoral Research Engineer, Laboratory of Computational Physiology, Massachusetts Institute of Technology, COVID-19 Image Data Collection: Prospective Predictions Are the Future, Unfolding Physiological State: Mortality Modelling in Intensive Care Units, A multivariate timeseries modeling approach to severity of illness assessment and forecasting in icu with sparse, heterogeneous clinical data, Do no harm: a roadmap for responsible machine learning for health care, State of the art review: the data revolution in critical care, State of the Art Review: The Data Revolution in Critical Care, Continuous state-space models for optimal sepsis treatment: a deep reinforcement learning approach, Predicting early psychiatric readmission with natural language processing of narrative discharge summaries, Using ambulatory voice monitoring to investigate common voice disorders: Research update, A Review of Challenges and Opportunities in Machine Learning for Health, Clinical Intervention Prediction and Understanding using Deep Networks. Their, This "Cited by" count includes citations to the following articles in Scholar. Merged citations. The following articles are merged in Scholar. The following articles are merged in Scholar. Modern methods for DP … Their combined citations are counted only for the first article. PDF Restore Delete Forever. American Medical Informatics Association. Follow this author. Their combined citations are counted only for the first article. View author publications. The ones marked * may be different from the article in the profile. The following articles are merged in Scholar. Add co-authors Co-authors. Dr. Marzyeh Ghassemi. The ones marked * may be different from the article in the profile. 2019. This "Cited by" count includes citations to the following articles in Scholar. Search across a wide variety of disciplines and sources: articles, theses, books, abstracts and court opinions. Harini Suresh, Nathan Hunt, Alistair Johnson, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi, Creating and applying machine learning algorithms towards improved prediction and stratification of relevant human risks, Semi-supervised Biomedical Translation with Cycle Wasserstein Regression GANs, Clinical Intervention Prediction and Understanding using Deep Networks. degree in computer science and electrical engineering with a minor in applied mathematics from New Mexico State University, Las Cruces, USA, in 2005 as a Goldwater Scholar, and the M.Sc. Marzyeh Ghassemi. Follow this author. New articles by this author. Try again later. New articles by this author. The following articles are merged in Scholar. The ones marked * may be different from the article in the profile. New articles by this author. Google Scholar provides a simple way to broadly search for scholarly literature. The following articles are merged in Scholar. New citations to this … Merged citations. Upload PDF. The following articles are merged in Scholar. ... Marzyeh Ghassemi. Upload PDF. PDF Restore Delete Forever. Their combined citations are counted only for the first article. Article Google Scholar 3. 2019. Authors. where my words occur. The following articles are merged in Scholar. Principal Investigator. degree in computer science and electrical engineering at New Mexico State University and Master’s degree in biomedical engineering from Oxford University. The following articles are merged in Scholar. Their combined citations are counted only for the first article. PDF Restore Delete Forever. Marzyeh Ghassemi, Jarrad H. Van Stan, Daryush D. Mehta, Matías Zanartu, Harold A. Cheyne II, Robert E. Hillman, John V. Guttag: Learning to Detect Vocal Hyperfunction From Ambulatory Neck-Surface Acceleration Features: Initial Results for Vocal Fold Nodules. The ones marked * may be different from the article in the profile. New citations to this … Google Scholar; Hrayr Harutyunyan, Hrant Khachatrian, David C Kale, and Aram Galstyan. Google Scholar; Irene Y Chen, Peter Szolovits, and Marzyeh Ghassemi. lecture Unfolding Physiological State: Mortality Modelling in Intensive Care Units as author at Research Sessions, 2974 views Add co-authors Co-authors. Application Eligibility ; POWER ; Policies & Guidelines PDF Restore Delete Forever. The following articles are merged in Scholar. Follow this author. Add co-authors Co-authors. This "Cited by" count includes citations to the following articles in Scholar. 2017. IEEE Trans. Add co-authors Co-authors. AMA journal of ethics 21, 2 (2019), 167--179. New citations to this … Health; Fairness; Representation Learning; Unsupervised Learning; Latent Variable Models ; Neural Networks; Creating and applying machine … New articles by this author. Their combined citations are counted only for the first article. Marzyeh Ghassemi. Merged citations. CoRR abs/1904.02633 ( 2019 ) Marzyeh Ghassemi; People; Research Projects; Publications; Opportunities in ML4H (Joining/Volunteering) Teaching. Follow this author. New articles by this author. New articles by this author. PDF Restore Delete Forever. The ones marked * may be different from the article in the profile. Follow this author. Find articles. This "Cited by" count includes citations to the following articles in Scholar. Add co-authors Co-authors. Assistant Professor, Computer Science/Medicine, JP Cohen, P Morrison, L Dao, K Roth, TQ Duong, M Ghassemi. Prof. Ghassemi was named a CIFAR Azrieli Global Scholar for 2020-2022.; Prof. Ghassemi was recently awarded a Canada Research Chair in Machine Learning for Health. Follow this author. Their combined citations are counted only for the first article. Predicting Intervention Onset in the ICU with Switching State Space Models. In International Conference … The following articles are merged in Scholar. AMA journal of ethics 21, 2 (2019), 167--179. Merged citations. CAS Article Google Scholar 17. A Rumshisky, M Ghassemi, T Naumann, P Szolovits, VM Castro, ... Translational psychiatry 6 (10), e921-e921. Upload PDF. The following articles are merged in Scholar. New articles by this author. Their combined citations are counted only for the first article. ; Prof. Ghassemi was a finalist for the … ... Dr. Marzyeh Ghassemi Assistant Professor, Computer Science/Medicine, University of Toronto & Vector Institute Verified email at cs.toronto.edu. Merged citations. This "Cited by" count includes citations to the following articles in Scholar. Visiting Researcher, Verily/Google Assistant Professor in Computer Science and Medicine, University of Toronto Faculty Member, Vector Institute Canada CIFAR Artificial Intelligence Chair Website | Google Scholar; Research Interests. Laleh Seyyed-Kalantari, Guanxiong Liu, Matthew McDermott, Marzyeh Ghassemi Download Preprint. Eng. Merged citations. American Medical Informatics Association (AMIA),. Her current research interests include clinical risk prediction with semi-supervised learning, optimal treatment discovery using expert demonstrations, and non-invasive patient phenotyping for behavioral conditions. The ones marked * may be different from the article in the profile. The ones marked * may be different from the article in the profile. Merged citations. Upload PDF. Their combined citations are counted only for the first article. Add co-authors Co-authors. Add co-authors Co-authors. 61 … Upload PDF. The ones marked * may be different from the article in the profile. Merged citations. This "Cited by" count includes citations to the following articles in Scholar. Their combined citations are counted only for the first article. Follow this author. ... Dr. Marzyeh Ghassemi Assistant Professor, Computer Science/Medicine, University of Toronto & Vector Institute Verified email at cs.toronto.edu. New citations to this … In such settings, methods for differentially private (DP) learning provide a general-purpose approach to learn models with privacy guarantees. Add co-authors Co-authors. PDF Restore Delete Forever. Download PDF Abstract: Modern electronic health records (EHRs) provide data to answer clinically meaningful questions. Can AI Help Reduce Disparities in General Medical and Mental Health Care? Marzyeh Ghassemi is a PhD student in the Clinical Decision Making Group (MEDG) in MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) supervised by Prof. Peter Szolovits. Google Scholar; Marzyeh Ghassemi, Mike Wu, Michael C. Hughes, Peter Szolovits, and Finale Doshi-Velez. Matthew B. New citations to this … Can AI Help Reduce Disparities in General Medical and Mental Health Care? The ones marked. Follow this author. Dr. Marzyeh Ghassemi is an Assistant Professor at the University of Toronto in Computer Science and Medicine, and a Vector Institute faculty member holding a Canadian CIFAR AI Chair and Canada Research Chair. By continuing to use our website, you consent to the use of cookies as outlined in our Privacy Policy. Merged citations. Background: Patient characteristics, clinical care, resource use and outcomes associated with admission to hospital for coronavirus disease 2019 (COVID-19) in Canada are not well described. Merged citations. Merged citations. New articles by this author. 2018. … Biomed. PDF Restore Delete Forever. I like to think about "representation learning" algorithms that learn to … The ones marked * may be different from the article in the profile. Aparna Balagopalan, Fall 2020 (co-supervised by Frank Rudzik) Sicong Huang, Fall 2020 (co-supervised by Frank Rudzik) Kimia Hamideh, Fall 2020 (co-supervised with Quaid Morris) Sindhu … Follow this author. New articles by this author. This "Cited by" count includes citations to the following articles in Scholar. This "Cited by" count includes citations to the following articles in Scholar. with the exact phrase. The following articles are merged in Scholar. Follow this author. Their combined citations are counted only for the first article. My profile My library Metrics Alerts. New citations to this author . Add co-authors Co-authors. Graduate Students PhD. This "Cited by" count includes citations to the following articles in Scholar. Errol Colak. Add co-authors Co-authors. Her research uses machine learning techniques and statistical modeling to predict and stratify relevant human risks. The ones marked * may be different from the article in the profile. A. McDermott, Bret Nestor, Evan Kim, Wancong Zhang, Anna Goldenberg, Peter Szolovits, Marzyeh Ghassemi: A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data. She is currently an assistant professor at the University of Toronto's Department of Computer Science and Faculty of Medicine, and is a Canada CIFAR Artificial Intelligence (AI) chair and Canada Research Chair … Prior to MIT, she received a B.S. Making big data useful for health care: a summary of the inaugural mit critical data conference, Deep Reinforcement Learning for Sepsis Treatment, Learning to detect vocal hyperfunction from ambulatory neck-surface acceleration features: Initial results for vocal fold nodules, Clinical Intervention Prediction and Understanding with Deep Neural Networks, Opportunities in Machine Learning for Healthcare, Challenges to the reproducibility of machine learning models in health care, Understanding vasopressor intervention and weaning: Risk prediction in a public heterogeneous clinical time series database. The ones marked * may be different from the article in the profile. ... Google Verified email at google.com. The following articles are merged in Scholar. This "Cited by" count includes citations to the following articles in Scholar. PDF Restore Delete Forever. ‪Assistant Professor, Computer Science/Medicine, University of Toronto & Vector Institute‬ - ‪Cited by 1,523‬ - ‪Artificial Intelligence‬ - ‪Machine Learning‬ - ‪Interprettable Big Data Models‬ - ‪Clinical Inference‬ Their combined citations are counted only for the first article. Their combined citations are counted only for the first article. The following articles are merged in Scholar. Follow this author. New articles by this author. Follow this author. PDF Restore Delete Forever. Upload PDF. Google Scholar; Irene Y Chen, Peter Szolovits, and Marzyeh Ghassemi. This "Cited by" count includes citations to the following articles in Scholar. We use cookies to give you the best user experience possible. This "Cited by" count includes citations to the following articles in Scholar. CheXclusion: Fairness gaps in deep chest X-ray classifiers. Merged citations. 4. Their combined citations are counted only for the first article. Their combined citations are counted only for the first article. The ones marked * may be different from the article in the profile. Merged citations. DD Mehta, JH Van Stan, M Zañartu, M Ghassemi, JV Guttag, ... Frontiers in bioengineering and biotechnology 3, 155, M Ghassemi, T Naumann, P Schulam, AL Beam, IY Chen, R Ranganath, H Suresh, N Hunt, A Johnson, LA Celi, P Szolovits, M Ghassemi. Their combined citations are counted only for the first article. PDF Restore Delete Forever. This "Cited by" count includes citations to the following articles in Scholar. Advanced search. The following articles are merged in Scholar. Merged citations. New citations to this … The ones marked * may be different from the article in the profile. PDF Restore Delete Forever. New citations to this … Authors. Their combined citations are counted only for the first article. A human-centered evaluation of a deep learning system deployed in clinics for the detection of diabetic retinopathy. Article Google Scholar 3. The following articles are merged in Scholar. Merged citations. Download PDF Abstract: Machine learning models in health care are often deployed in settings where it is important to protect patient privacy. Their combined citations are counted only for the first article. Marzyeh Ghassemi is a Canada-based researcher in the field of computational medicine, where her research focuses on developing machine-learning algorithms to inform health-care decisions. New citations to this … Marzyeh is on the Board of Women in Machine Learning (WiML), and co-organized the NIPS 2016/2017 Workshop on Machine Learning for Health, and MIT’s first Hacking Discrimination event. CoRR abs/2007.10185 (2020) PDF Restore Delete Forever. Can AI Help Reduce Disparities in General Medical and Mental Health Care? jupyter notebook walks through how to use the code and shows a successful synthetic run. Upload PDF. The following articles are merged in Scholar. … My research works towards a holy grail of unsupervised learning that can either learn without annotation completely or with noisy and easy to obtain labels. The ones marked * may be different from the article in the profile. New citations to this … Add co-authors Co-authors. Abebe, R., Hill, S. & Schwartz, H. A. Google Scholar; Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Ziqing Yang, Shijin Wang, and Guoping Hu. This "Cited by" count includes citations to the following articles in Scholar. without the words. Beede E, Baylor E, Hersch F, et al. In: Proceedings of the 2020 CHI conference on human factors in computing systems 2020;1–12. anywhere in the article . Their combined citations are counted only for the first article. Merged citations . Using search queries to ... Marzyeh Ghassemi. Google Scholar; E. Giunchiglia, A. Nemchenko, and M. van der Schaar. Merged citations. New citations to this … New citations … Guanxiong Liu, Tzu-Ming Harry Hsu, Matthew B. A. McDermott, Willie Boag, Wei-Hung Weng, Peter Szolovits, Marzyeh Ghassemi: Clinically Accurate Chest X-Ray Report Generation. Vector Institute CIFAR AI Chair, 661 University Ave, Suite 710, Toronto, ON, M5G 1M1, Canada. Irene Y. Chen. Done. Upload PDF. The ones marked * may be different from the article in the profile. Add co-authors Co-authors. Training Verifications ; Eliot Phillipson Clinician-Educator Training Program ; Eliot Phillipson Clinician-Scientist Training Program This "Cited by" count includes citations to the following articles in Scholar. The following articles are merged in Scholar. Authors: Marzyeh Ghassemi, Tristan Naumann, Peter Schulam, Andrew L. Beam, Irene Y. Chen, Rajesh Ranganath. degree in biomedical engineering from Oxford University, U.K., as a Marshall Scholar. This "Cited by" count includes citations to the following articles in Scholar. RNN-SURV: A Deep Recurrent Model for Survival Analysis. Upload PDF. 2017. Marzyeh completed her PhD at MIT where her research focused on machine learning in health care, exploring how to predict immediate and long-term patient needs to inform decisions in the intensive care unit and ambulatory care. Add co-authors Co-authors. Their combined citations are counted only for the first article. The following articles are merged in Scholar. Email address for updates. with at least one of the words. New citations to this … The following articles are merged in Scholar. A human-centered evaluation of a deep learning system deployed in clinics for the detection of diabetic retinopathy. This "Cited by" count includes citations to the following articles in Scholar. Ghassemi M, 0000-0001-6349-7251; Gaube S, 0000-0002-1633-4772, University of Regensburg; Colak E, 0000-0002-3771-7975; Lermer E, 0000-0002-6600-9580, FOM University of Applied Sciences for Economics and Management; Raue M, 0000-0002-7443-1829, Massachusetts Institute of Technology; Suresh H, 0000-0002-9769-4947; NPJ Digital Medicine, 19 Feb 2021, 4(1): 31 DOI: 10.1038/s41746-021 … She will join MIT's IMES/EECS in July 2021. Google Scholar; Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Ziqing Yang, Shijin Wang, and Guoping Hu. The ones marked * may be different from the article in the profile. New articles related to this author's research. The ones marked * may be different from the article in the profile. 2019.
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